Table 2.

Summary of some research studies that used AI technology in the diagnosis and prevention of COVID-19.

Data	Modality	Results	Reference
Chest images	X-ray	In this study using deep-nets, COVID-19 was diagnosed with an accuracy of 91.67% and an accuracy of 100% in finding the survival ratio.	[64]
Clinical, laboratory, and radiological	Medical records (all history)	70% to 80% accuracy was achieved in predicting acute respiratory distress syndrome (ARDS) severity	[65]
Clinical	Historical medical claims data	Helps curtail the worst effects	[66]
RR, cough, temperature, accelerometry	Wearable patch	Detects cough related activity, seismocardiogram and RR observation using AI	[67]
Oscillating magnetic field	Wearable belt	Tracing: proximity estimation up to 0.1m	[68]
Step counts, sleep times, RHR	Stanfordwatch	80% early detection rate	[69]